Intelligent Systems : Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics book cover
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Intelligent Systems
Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics




ISBN 9781771888004
Published December 27, 2019 by Apple Academic Press
320 Pages 14 Color & 81 B/W Illustrations

 
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Book Description

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models.

Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

Table of Contents

Part 1: Biometric Systems And Image Processing

1. Intelligent Techniques: An Overview

T. K. Das and D. K. Bebarta

2. A Survey on Artificial Intelligence Techniques Used in Bio-Metric Systems

C. N. Patill et al.

3. Speech-Based Biometric Using Odia Phonetics

Basanta Kumar Swain and Sanghamitra Mohanty

4. Deep Learning Techniques to Classify and Analyze Medical Imaging Data

Dharm Singh Jat and Chucknorris Garikayi Madamombe

5. Face Recognition System: An Overview

Shubham Shrimali and Chiranji Lal Chowdhary

6. An Overview on the Concept of Speaker Recognition

Sindhu Rajendran et al.

7. Analysis of a Unimodal and Multimodal Biometric System

Chiranji Lal Chowdhary

Part 2: Soft Computing And Data Analytics

8. A Heuristic Approach of Parameter Tuning in a Smote-Based Preprocessing Algorithm for Imbalanced Ordinal Classification

Anna Saro Vijendran and D. Dhanalakshmi

9. Aspects of Deep Learning: Hyper-Parameter Tuning, Regularization, and Normalization

Syed Muzamil Basha and Dharmendra Singh Rajput

10. Super-Resolution of Reconstruction of Infrared Images Adopting Counter Neural Networks

Anna Saro Vijendran

11. High-End Tools and Technologies for Managing Data in the Age of Big Data

M. Nivedhitha and P. M. Durai Raj Vincent

12. An AI-Based Chatbot Using Deep Learning

M. Senthilkumar and Chiranji Lal Chowdhary

Part 3: Intelligent Systems And Hybrid Systems

13. A Real-Time Data Analytics-Based Crop Diseases Recognition System

Chiranji Lal Chowdhary et al.

14. Image Caption Generation with Beam Search

Chiranji Lal Chowdhary, Aman Goyal, and Bhavesh Kumar Vasnani

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Editor(s)

Biography

Chiranji Lal Chowdhary, PhD, is currently Associate Professor in the School of Information Technology & Engineering at VIT Vellore, India. He has over 15 years of experience in academia and industry. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing several books. He has received awards for publishing research papers from VIT University several times. His publications have been indexed by Clarivate Analytics, IEEE Computer Society, SCOPUS, the ACM Digital Library, and other abstract and citation databases.

He has guided more than 20 graduate projects and more than 20 postgraduate-level projects. Dr. Chowdhary is a reviewer for many reputed journals and is a life member of the Computer Society of India, the Indian Science Congress Association, and the Indian Society for Technical Education. His current research includes digital image processing, deep learning, pattern recognition, soft computing, and biometric systems.